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基于多代理行为模拟的上海市北外滩滨水公共空间诊断和优化
杨春侠1, 徐思璐2, 耿慧志1, 詹鸣1
1.同济大学;2.上海建科建筑设计院有限公司
摘要:
为了探索滨水公共空间的量化模拟分析方法,基于多代理行为模拟技术,搭建了“模型建构—问题诊断—优化预判”的系统分析框架。以上海市北外滩置阳段改造为例,首先,通过偏好分析确定影响行为活动的关键要素和吸引力权重,建立仿真空间和代理粒子的参数关系,运行拟合进而构建多代理模型;其次,开展分项情境模拟,诊断公共空间问题,提出优化改进措施;再次,进行单个要素改进,组合预演比选,提出不同取向的最优推荐;最后,选择近似组合,与改造后状况进行比对,验证方法可行性。研究表明在滨水公共空间进行多代理行为模拟量化分析是有效的,该方法创新性地将行为模拟技术拓展应用于滨水公共空间的休憩行为研究,通过仿真模拟实现了对未来使用状况的科学预判。
关键词:  滨水公共空间  多代理行为模拟  模型建构  问题诊断  优化预判
DOI:10.14085/j.fjyl.2022.12.0078.07
分类号:TU984.199
基金项目:上海市城市更新及其空间优化技术重点实验室课题(编号 2020010203);中国电建集团华东勘测设计研究院有限公司科技项目(编号 KY2020-JZ-10)
Diagnosis and Optimization of Waterfront Public Space in North Bund, Shanghai Based on Multi-agent Behavior Simulation
YANG Chunxia1, XU Silu2, GENG Huizhi1, ZHAN Ming1
1.Tongji University;2.Shanghai Jianke Architectural Design Institute Co., Ltd
Abstract:
In order to explore a simulation-based quantitative analysis method for the waterfront public spaces, this research builds the systematic analysis framework of “model construction - problem diagnosis - prediction optimization” based on the multi-agent behavior simulation technology. Taking the transformation of the Zhiyang segment, North Bund, Shanghai as an example, the research firstly determines the key elements and attractiveness weights influencing behavior activities through preference analysis, establishes the parameter relationship between simulated space and agent particle, and builds a multi-agent model based on necessary operation and fitting. Then the research carries out the itemized scenario simulation, diagnoses public space problems, and puts forward optimization and improvement measures. After that, the research improves single spatial elements, and compares and selects element combinations, based on which proposes the optimal recommendation for different orientations. Finally, the research selects similar combinations and compares their status before and after transformation, to verify the feasibility of the method developed. The research shows that the quantitative analysis method based on multi-agent behavior simulation is effective for waterfront public spaces. Having the behavior simulation technology innovatively extended and applied to the research of recreation behavior in waterfront public spaces, the aforesaid method can achieve the scientific prediction of the future use status of waterfront public spaces through simulation.
Key words:  waterfront public space  multi-agent behavior simulation  model building  problem diagnosis  prediction optimization
引用本文:杨春侠,徐思璐,耿慧志,詹鸣.基于多代理行为模拟的上海市北外滩滨水公共空间诊断和优化[J].风景园林,2022,29(12):78-84.
YANG Chunxia,XU Silu,GENG Huizhi,ZHAN Ming.Diagnosis and Optimization of Waterfront Public Space in North Bund, Shanghai Based on Multi-agent Behavior Simulation[J].Landscape Architecture Journal, 2022, 29(12):78-84.